Construction of an Interactive Network Malicious Intrusion Active Defense Model Based on Bayesian Decision Theory
In order to reduce network malicious intrusion risk,an interactive network malicious intrusion active defense model based on Bayesian Decision Theory is proposed.It uses K-means Clustering Algorithm to identify malicious intrusion frequency hopping data in interactive networks,constructs a distribution model of malicious intrusion nodes in interactive networks,and adopts a sensitive IMF Component Selection Algorithm based on the energy entropy increment frequency domain correlation coefficient to preserve effective malicious intrusion feature components.It uses Bayesian Decision Theory to construct a malicious intrusion defense model,and the final results show that the anti-interference coefficient and redundancy results of this method are below 0.10 and 0.22,respectively.It can accurately classify and identify malicious intrusion frequency hopping data in interactive networks,and the accuracy of feature component determination is above 0.946.The security factors of interactive networks are all 0.936.The network threat levels are all below level 2,effectively improving the security of the network.
Bayesian Decision Theoryinteractive networkmalicious intrusionactive defense model
国家科技期刊平台
NSTL
万方数据
维普
